What problem does it solve? Manually tracking new arXiv publications on EEG decoding, speech decoding, and brain foundation models is time-consuming, and writing consistent bilingual paper reviews requires significant effort. This Skill automates the discovery, quality evaluation, and summarization of recent papers into a standardized Chinese/English Markdown format. ## Core Features & Use Cases - arXiv Paper Discovery: Searches arXiv via Chrome browser automation using curated keyword lists for EEG decoding, EEG speech decoding, and brain foundation models, filtered to the last 3 months. - Structured Quality Evaluation: Scores papers on a 5-dimension rubric (innovation, method completeness, experimental thoroughness, writing quality, relevance) and selects the top 3. - Bilingual Summary Generation: Produces complete Markdown summaries with a ~300-word Chinese review, an academic English review, metadata tables, and an integrated publishing format. - Use Case: A neuro-AI researcher asks to "generate daily paper" each morning and receives three timestamped Markdown files in a daily paper/ directory, each containing a fully formatted bilingual review ready for publication. ## Quick Start Ask the assistant to generate today's daily paper by searching arXiv for recent EEG decoding papers and writing bilingual summaries of the top three.
